Results 71 to 80 of about 31,403,596 (208)

Tri‐Functional Electrocatalysis for Zinc–Air Battery Coupled Water Splitting: A Catalyst‐Electrode‐Device‐System Perspective

open access: yesAdvanced Science, EarlyView.
This review establishes a catalyst–electrode–device–system framework for tri‐functional HER/OER/ORR electrocatalysis that couples water splitting with Zn–air batteries. Five catalyst families are covered: noble‐metal, metal‐based, single‐atom, heterostructure, and metal‐free systems.
Xixi Di   +9 more
wiley   +1 more source

Supramolecular Zinc–Polyphenol Coordination Assemblies Mitigate Colonic Inflammation by Regulating Mucosal Barrier and Microbiome

open access: yesAdvanced Science, EarlyView.
A carrier‐free zinc‐coordinated polyphenol nanoplatform (ZnCA NPs) is designed as an “all‐in‐one” therapeutic strategy for intestinal inflammation. The ZnCA NPs exhibit enhanced colonic accumulation and broad‐spectrum reactive oxygen and nitrogen species scavenging.
Qiwen Xie   +7 more
wiley   +1 more source

Pure object oriented database management system prototype

open access: yes, 1994
When designing a system or an application program, object-oriented modelling and design makes life easier for programmer with reusable codes, inheritance, extensibility.
Uzun, Umit   +4 more
core   +1 more source

Beyond Conventional: A Review of Phytochemical‐Hydrogel Systems Enhanced by AI and 3D Printing for Chronic Wound Management

open access: yesAdvanced Science, EarlyView.
This review systematically bridges chronic wound pathology with natural phytochemical hydrogel therapeutics. A pathology‐to‐phytochemical mechanistic mapping framework is established, linking specific wound hallmarks to targeted phytochemical interventions.
Yitao Zhou   +8 more
wiley   +1 more source

MAPA: A Semantic Network Framework for Functional Module Discovery and Interpretation in Multi‐Omics Data

open access: yesAdvanced Science, EarlyView.
MAPA transforms complex multi‐omics data into biologically coherent functional modules by integrating pathway information with molecular interaction networks. Retrieval‐augmented large language models then generate structured, literature‐informed interpretations.
Yifei Ge   +13 more
wiley   +1 more source

Smart Bioinks for 4D Bioprinting: Requirements, Design, and Applications

open access: yesAdvanced Science, EarlyView.
Smart bioinks empower 4D‐bioprinted constructs to dynamically adapt and remodel in response to stimuli, effectively biomimicking native tissues. Artificial Intelligence (AI) and Machine Learning (ML) play a guiding role in their rational design by optimizing relevant properties.
Shangsi Chen   +11 more
wiley   +1 more source

Column-Oriented Database Systems (Tutorial) [PDF]

open access: yes, 2009
Column-oriented database systems (column-stores) have attracted a lot of attention in the past few years. Column-stores, in a nutshell, store each database table column separately, with attribute values belonging to the same column stored contiguously ...
Abadi, D.   +3 more
core  

A Gut‐Brain Axis Underlying Succinate‐Associated Compulsive‐Like Behavior

open access: yesAdvanced Science, EarlyView.
Gut‐derived succinate is associated with an excitatory‐inhibitory imbalance in dmPFC glutamatergic neurons, involving microglial SUCNR1 activation and vagal afferent signaling via upregulated gut 5‐HT4 receptors along the DVC‐CeA‐dmPFC circuit, changes that are linked to excessive compulsive‐like behavior.
Yi Li   +12 more
wiley   +1 more source

Transport–Reaction–Signal Coupling in Lateral Flow Assays for Next‐Generation Point‐of‐Care Diagnostics

open access: yesAdvanced Science, EarlyView.
Lateral flow assays are evolving into interdisciplinary, system‐level sensing platforms. Recent innovations are deconstructed through coupled phases of mass transfer, reaction, and signal transduction, revealing interdependence across porous materials, interfacial chemistry, nanolabels, readout devices, and data‐enabled analysis.
Yan Pan   +6 more
wiley   +1 more source

Machine Learning Interatomic Potentials for Energy Materials: Architectures, Training Strategies, and Applications

open access: yesAdvanced Energy Materials, EarlyView.
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park   +19 more
wiley   +1 more source

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